NEApr 1, 2017
A Brownian Motion Model and Extreme Belief Machine for Modeling Sensor Data Measurements
arXiv:1704.00207v2
Originality Synthesis-oriented
AI Analysis
This work addresses sensor data prediction, but appears incremental as it builds on existing mathematical models without specifying novel applications or breakthroughs.
The paper tackles the problem of predicting sensor measurements by proposing a Brownian motion model and an Extreme Belief Machine, focusing on the mathematical foundations for modeling sensor data.
As the title suggests, we will describe (and justify through the presentation of some of the relevant mathematics) prediction methodologies for sensor measurements. This exposition will mainly be concerned with the mathematics related to modeling the sensor measurements.